abhinav singh

Assessing the performance of various visibility-improving methods on natural scene images degraded under real-world conditions that are challenging such as fog, haze, and low light. This research will facilitate the ongoing development of more reliable image enhancement models for real-world challenges in autonomous systems and computer vision.

Developing a robust security system for preventing unauthorized access to ATMs, leveraging machine learning algorithms to recognize suspicious behavior patterns. The system integrates age detection for minors and facial recognition for user identity verification, covering data collection, model training, and real-time authentication.

Currently pursuing a Bachelor of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning. This program focuses on advanced topics in AI and ML, preparing for careers in cutting-edge technology.

Developed a machine learning model to identify fraudulent URLs by training it on a dataset of malicious and legitimate URLs. Created a user-friendly website for real-time URL verification, enhancing online safety through immediate fraud detection and awareness.

Organized and oversaw the Carrom Board Tournament for the Sports Club, hosting players from six hostels and ensuring smooth execution. Actively participated in the tournament, securing the runner-up position.

Analyzed customer sentiment and predicted holiday bookings for British Airways, utilizing NLP tools like NLTK and TextBlob to scrape and analyze reviews. Employed a Random Forest model, optimized with GridSearchCV, to predict seat bookings using engineered features, enhancing customer satisfaction and revenue management.

Completed a web development course, gaining proficiency in HTML, CSS, and JavaScript to build responsive websites and add interactivity. Applied acquired skills by creating a functional web project at the end of the course.

Developed a bird species recognition model using EfficientNetB0, capable of classifying 525 species from diverse image datasets. This model aids in conservation efforts, wildlife monitoring, and ecological research by accurately classifying birds under varied conditions.

Completed Senior School Certificate (12th Class) with a final grade of 70.6%. The curriculum provided a strong foundation in various subjects, preparing for higher education.

Completed Secondary School Examination (10th Class) with a final grade of 76.83%. This stage of education built foundational knowledge across core subjects.

Currently pursuing a Bachelor of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning. This program focuses on advanced topics in AI and ML, preparing for careers in cutting-edge technology.

Grade: 70.6%

Completed Senior School Certificate (12th Class) with a final grade of 70.6%. This stage of education provided a strong foundation in various subjects.

Grade: 76.83%

Completed Secondary School Examination (10th Class) with a final grade of 76.83%. This foundational education covered core subjects and prepared for higher secondary studies.